Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute (MPI) for Psycholinguistics
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Nature Careers
- Oak Ridge National Laboratory
- Yale University
- Forschungszentrum Jülich
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Technical University of Munich
- University of Luxembourg
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- European Space Agency
- Georgia State University
- Heriot Watt University
- INESC ID
- Imperial College London
- KINGS COLLEGE LONDON
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- McGill University
- New York University
- Northeastern University
- Northumbria University;
- Reykjavik University
- Stanford University
- The University of North Carolina at Chapel Hill
- University of Antwerp
- University of Houston Central Campus
- University of Massachusetts Medical School
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of Oxford
- University of Texas at Arlington
- Université Grenoble Alpes
- 30 more »
- « less
-
Field
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
-
(e.g. systems biology), or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing
-
(Dell Precision 7960 Tower with NVIDIA RTX 6000 GPU, 128GB RAM, 32-core CPU) for large-scale NLP and machine learning experiments. The planned start date is 15 November 2025 or as soon as possible after
-
animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements
-
animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements
-
that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
-
opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's goals of creating
-
managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
-
animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements